Senior Marketing Data Scientist

Culver City, California, United States Software and Services

Description

Collaborate with cross-functional teams (Business, Engineering, Product, and Marketing) to define key metrics, data requirements, and models for analysis, experimentation, and reporting.Investigate large-scale datasets to identify trends, measure impact, and generate insights that improve marketing strategies.Develop attribution methodologies and frameworks to assess the effectiveness of campaigns across channels.Design and build datasets, reports, and dashboards to monitor campaign and channel performance at scale.Conduct ad-hoc analyses to support major initiatives and campaigns.Help shape marketing campaign touchpoints and customer journey strategies to deepen engagement.Build predictive models, including LTV and propensity models, to support campaign optimization and audience targeting.Evaluate the incremental impact of marketing efforts using causal inference and testing methodologies.Explore how emerging technologies, such as generative AI, can be applied to create business value.Communicate insights and strategic recommendations to Marketing, Business, Finance, and Executive stakeholders.Partner with teams across Apple to support responsible data collection, governance, and access.

Minimum Qualifications

• 8+ years of experience as a Data Scientist or Analyst in marketing, media, subscription, or tech environments, with a proven track record of campaign measurement and optimization.
• Strong proficiency in SQL and at least one programming language such as Python or R; experienced in building analytical datasets and pipelines using large-scale structured and unstructured data.
• Applied expertise in statistical and experimental techniques including A/B testing, regression, clustering, survival analysis, and causal inference.
• Demonstrated ability to translate complex data into clear, actionable business insights for cross-functional stakeholders.
• Bachelor’s degree in a quantitative field (e.g., Computer Science, Statistics, Economics) or equivalent professional experience.

Preferred Qualifications

• Experience in a digital subscription or large-scale e-commerce business.
• Deep understanding of marketing effectiveness measurement, particularly through causal inference methods.
• Master’s or Ph.D. in a quantitative field is a plus, but not required.

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $163,300 and $290,100, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .

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